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On Model Order Reduction of Interconnect Circuit Network: A Fast and Accurate Method

Author

Listed:
  • Xinsheng Wang

    (Harbin Institute of Technology at Weihai, Weihai 264200, China)

  • Shimin Fan

    (Harbin Institute of Technology at Weihai, Weihai 264200, China)

  • Ming-Zhe Dai

    (The School of Aeronautics and Astronautics, Central South University, Changsha 410083, China)

  • Chengxi Zhang

    (The School of Electronic and Information Engineering, Harbin Institute of Technology, Shenzhen 518055, China)

Abstract

The time cost in integrated circuit simulation is an important consideration in the design. This paper investigates the model order reduction of interconnect circuit networks to facilitate numerical analysis. A novel fast and accurate time reduced order model is proposed to simplify the interconnection network structure analysis and perform a fast simulation. The novelty of this study is the use of the power function sum to extend the approximate function to replace the original system’s state function. We give several simulations to verify the effectiveness of the algorithm. The innovation of this model is due to its use of the approximate function of power series expansion to replace the state function of the original system.

Suggested Citation

  • Xinsheng Wang & Shimin Fan & Ming-Zhe Dai & Chengxi Zhang, 2021. "On Model Order Reduction of Interconnect Circuit Network: A Fast and Accurate Method," Mathematics, MDPI, vol. 9(11), pages 1-13, May.
    • Handle: RePEc:gam:jmathe:v:9:y:2021:i:11:p:1248-:d:565085
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    Cited by:

    1. Bruno Dogančić & Marko Jokić & Neven Alujević & Hinko Wolf, 2022. "Structure Preserving Uncertainty Modelling and Robustness Analysis for Spatially Distributed Dissipative Dynamical Systems," Mathematics, MDPI, vol. 10(12), pages 1-31, June.

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